Senior Data Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 5h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 3d ago
The date the source published, not the day we noticed it (2026-09-28). Last seen at its source 1h ago.
We have tracked this listing since 28 Sep 2026 (3 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description agrees: it names United States.
What the ad says
…Fully Remote within the U.S…
Pay not stated
Similar roles pay $155k–212.5k/yr
Middle 50% of 1285 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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workable employer's own board first seen 3d ago · last seen 1h ago
The listing
Workana is the largest remote work platform for talent in Latin America. Our division focuses on matching exceptional professionals with leading and innovative companies around the globe.
About the client
Our client is a fast-growing life sciences and biotechnology company operating at the intersection of computational research, data platform engineering, and advanced analytics. They develop production-grade data systems designed to support complex scientific research, clinical trial analytics, and machine learning workloads. We are looking for an experienced Senior Data Engineer to join their engineering team and take technical ownership of their data platform architecture.
Role overview
As a Senior Data Engineer, you will own the end-to-end architecture, design, and implementation of scalable data platforms and processing pipelines. You will work directly with scientists, researchers, and machine learning engineers to translate complex domain requirements into technical solutions that power downstream analytics and production ML systems.
We are looking for a senior technical owner who can operate autonomously, drive best practices across distributed processing and data modeling, and collaborate effectively with international stakeholders in an English-speaking environment.
Selection process
The process usually consists of 4 stages and takes on average 4 weeks to be completed, depending on eventual additional technical rounds or take-home tests.
- Initial interview with Workana's recruiting team;
- Technical interview with Workana's technical team;
- Client Cultural fit interview;
- Final interview with C-level.
As Workana has multiple clients, if you pass the first round with Workana's recruiting team, you may also be considered for other relevant opportunities if the initial opportunity does not move forward.
Responsibilities
- Architect, build, and maintain production-grade data platforms and scalable ELT/ETL pipelines.
- Ingest, transform, and model complex structured and unstructured scientific and clinical datasets.
- Define data architecture patterns, engineering standards, and best practices across the team.
- Collaborate with scientists, ML engineers, and business stakeholders to turn domain needs into data solutions.
- Design data infrastructure that supports machine learning training, inference, and analytics workloads.
- Ensure data quality, lineage, reproducibility, security, and system observability.
- Optimize pipeline performance, architectural bottlenecks, and infrastructure cost efficiency.
- Participate in technical design discussions, code reviews, and architectural decision-making.
Requirements
- 5+ years of experience in data engineering, data platform engineering, or data-intensive software engineering.
- Advanced professional experience with Python and SQL.
- Strong experience designing and owning production-grade distributed data architectures.
- Solid understanding of ETL/ELT patterns, data modeling, orchestration, and data observability.
- Strong software engineering fundamentals, including testing, CI/CD, version control, and system design.
- Experience handling large, complex, and heterogeneous datasets in cloud environments.
- Ability to work independently, manage technical ambiguity, and take ownership of deliverables.
Bonus points
- Experience with cloud platforms (AWS, GCP, or Azure) and technologies like Spark, Databricks, Snowflake, or BigQuery.
- Experience with workflow orchestrators such as Apache Airflow, Dagster, or Prefect.
- Domain experience in life sciences, clinical trials, genomics, or drug discovery datasets.
- Exposure to data governance, lineage, or operating within regulated data environments.
Benefits
- Competitive salary with travel expenses covered when travel is required.
- Flexible work arrangements (Hybrid in Indianapolis, IN, or Fully Remote within the U.S. East Coast with occasional travel).
- Dynamic career growth with innovative, high-impact enterprise projects.
- Long-term independent contractor agreement.